histogram

问题 I'm looking for a way to plot a distribution histogram, with the y-axis representing the total number of items for each bin (and not just the count). Example on the charts below: On the left, there are 55 agencies who sold between 20-30 houses On the right, the agencies having sold between 20-30 houses represent 1100 houses sold It's not as trivial as it looks because one can't simply multiply each bin's count by the bin's value (maybe in the 20-30 bin, there are 54 agencies who sold 21 are 1

问题 I'm looking for a way to plot a distribution histogram, with the y-axis representing the total number of items for each bin (and not just the count). Example on the charts below: On the left, there are 55 agencies who sold between 20-30 houses On the right, the agencies having sold between 20-30 houses represent 1100 houses sold It's not as trivial as it looks because one can't simply multiply each bin's count by the bin's value (maybe in the 20-30 bin, there are 54 agencies who sold 21 are 1

问题 Hi I wanted to draw a histogram with a boxplot appearing the top of the histogram showing the Q1,Q2 and Q3 as well as the outliers. Example phone is below. (I am using Python and Pandas) I have checked several examples using matplotlib.pyplot but hardly came out with a good example. And I also wanted to have the histogram curve appearing like in the image below. I also tried seaborn and it provided me the shape line along with the histogram but didnt find a way to incorporate with boxpot

问题 Hi I wanted to draw a histogram with a boxplot appearing the top of the histogram showing the Q1,Q2 and Q3 as well as the outliers. Example phone is below. (I am using Python and Pandas) I have checked several examples using matplotlib.pyplot but hardly came out with a good example. And I also wanted to have the histogram curve appearing like in the image below. I also tried seaborn and it provided me the shape line along with the histogram but didnt find a way to incorporate with boxpot

问题 I am trying to combine percentage histogram with facet_wrap , but the percentages are not calculated based on group but all data. I would like each histogram to show distribution in a group, not relative to all population. I know it is possible to do several plots and combine them with multiplot . library(ggplot2) library(scales) library(dplyr) set.seed(1) df <- data.frame(age = runif(900, min = 10, max = 100), group = rep(c("a", "b", "c", "d", "e", "f", "g", "h", "i"), 100)) tmp <- df %>%

问题 How to convert two datasets X and Y to histograms whose x-axes/index are identical, instead of the x-axis range of variable X being collectively lower or higher than the x-axis range of variable Y (like how the code below generates)? I would like the numpy histogram output values to be ready to plot in a shared histogram-plot afterwards. import numpy as np from numpy.random import randn n = 100 # number of bins #datasets X = randn(n)*.1 Y = randn(n)*.2 #empirical distributions a = np

问题 If I draw line chart there is no problem but I want to this on histogram graph.. (https://developers.google.com/chart/interactive/docs/gallery/histogram) For LineChart; var chart = new google.visualization.LineChart(document.querySelector('#chart_div')); For Histogram; var chart = new google.visualization.Histogram(document.querySelector('#chart_div')); Other Codes; function drawChart () { var data = new google.visualization.DataTable(); data.addColumn('string', 'Name'); data.addColumn({type:

问题 If I draw line chart there is no problem but I want to this on histogram graph.. (https://developers.google.com/chart/interactive/docs/gallery/histogram) For LineChart; var chart = new google.visualization.LineChart(document.querySelector('#chart_div')); For Histogram; var chart = new google.visualization.Histogram(document.querySelector('#chart_div')); Other Codes; function drawChart () { var data = new google.visualization.DataTable(); data.addColumn('string', 'Name'); data.addColumn({type:

问题 If I draw line chart there is no problem but I want to this on histogram graph.. (https://developers.google.com/chart/interactive/docs/gallery/histogram) For LineChart; var chart = new google.visualization.LineChart(document.querySelector('#chart_div')); For Histogram; var chart = new google.visualization.Histogram(document.querySelector('#chart_div')); Other Codes; function drawChart () { var data = new google.visualization.DataTable(); data.addColumn('string', 'Name'); data.addColumn({type:

问题 Please forgive me if this is a repeated question, I've done my best to look for a solution. This seems very straightforward but I can't seem to find anything applicable. I'm trying to generate a plot (like a heatmap) using data from 3 1-D numpy arrays. The data is basically arranged as follows: x_axis = ([1, 4, 6]) y_axis = ([2, 5, 7]) z_axis = ([5, 8, 9]) (my data sets are actually much larger... sometimes hundreds of thousands of entries). so I've got z_axis values that are each associated